MinerU Document Extractor

MinerU Document Extractor is a Document generation & office files skill for AI agents, published by opendatalab in the MinerU-Ecosystem repository on GitHub. Skillspace rates MinerU Document Extractor D (60/100) and it passed the safety scan; the rating is based on static analysis only.

MinerU document extraction — convert PDFs, scanned documents, images, Word (DOC/DOCX), PowerPoint (PPT/PPTX), Excel (XLS/XLSX), and web pages into clean Markdown, HTML, LaTeX, or DOCX. MinerU is an all-in-one CLI tool and agent skill for reliable, high-fidelity document parsing. Struggling with unreadable PDFs, messy table formatting, or garbled formulas after conversion? MinerU solves these with two extraction modes: MinerU flash-extract for instant zero-setup conversion with table recognition, formula recognition, and OCR (no token, no login, no configuration — just run and get results), and MinerU precision extract with VLM-based layout analysis, multiple output formats, and batch processing of hundreds of files. Use MinerU when you need to: "how do I extract text from this PDF", "I want to convert my PDF to Markdown", "can you parse this academic paper with tables and formulas", "I need to OCR a scanned document", "batch convert all my PDFs", "turn this Word doc into Markdown",…

Grade
D
Quality
60 / 100
Safety
Passed
GitHub stars
167

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubopendatalab/MinerU-Ecosystem

Our review

Architecture
81 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • over-broad allowed-tools ('*')
  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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